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Q1: Write a program to create a dictionary with key-value pairing representing items and their prices and print their values on screen.

output.cpp

# Python code
items_prices = {
    "apple": 1.00,
    "banana": 0.50,
    "cherry": 1.50,
    "date": 2.00,
    "fig": 1.20
}

# Accessing prices for items
apple_price = items_prices["apple"]
banana_price = items_prices["banana"]

print("Item Prices:")
for item, price in items_prices.items():
    print(f"{item}: ${price:.2f}")

print(f"Price of an apple: ${apple_price:.2f}")
print(f"Price of a banana: ${banana_price:.2f}")

Q2: Write a program to retrieve the values from a dictionary using keys.

output.cpp

# Python code
items_prices = {
    "apple": 1.00,
    "banana": 0.50,
    "cherry": 1.50,
    "date": 2.00,
    "fig": 1.20
}

# Retrieve values using keys
apple_price = items_prices["apple"]
banana_price = items_prices["banana"]
cherry_price = items_prices["cherry"]

print(f"Price of an apple: ${apple_price:.2f}")
print(f"Price of a banana: ${banana_price:.2f}")
print(f"Price of a cherry: ${cherry_price:.2f}")

Q3: Write a program to add new items to a dictionary and print the values on screen.

output.cpp

# Python code
items_prices = {
    "apple": 1.00,
    "banana": 0.50,
    "cherry": 1.50,
    "date": 2.00,
    "fig": 1.20
}

# Add new items to the dictionary
items_prices["grape"] = 2.50
items_prices["kiwi"] = 1.80

# Print the updated dictionary
print("Updated Item Prices:")
for item, price in items_prices.items():
    print(f"{item}: ${price:.2f}")

Q4: Write a program to update the prices of items in a dictionary.

output.cpp

# Python code
items_prices = {
    "apple": 1.00,
    "banana": 0.50,
    "cherry": 1.50,
    "date": 2.00,
    "fig": 1.20
}

# Update the prices of items in the dictionary
items_prices["apple"] = 1.20
items_prices["cherry"] = 1.75

# Print the updated dictionary
print("Updated Item Prices:")
for item, price in items_prices.items():
    print(f"{item}: ${price:.2f}")

Q5: Write a program to remove items from a dictionary.

output.cpp

# Python code
items_prices = {
    "apple": 1.00,
    "banana": 0.50,
    "cherry": 1.50,
    "date": 2.00,
    "fig": 1.20
}

# Remove an item from the dictionary using del
del items_prices["banana"]

# Print the updated dictionary
print("Updated Item Prices (banana removed):")
for item, price in items_prices.items():
    print(f"{item}: ${price:.2f}")

Q6: Write a program to iterate through a dictionary and print all the key-value pairs on screen.

output.cpp

# Python code
items_prices = {
    "apple": 1.00,
    "banana": 0.50,
    "cherry": 1.50,
    "date": 2.00,
    "fig": 1.20
}

# Iterate through the dictionary and print key-value pairs
for item, price in items_prices.items():
    print(f"{item}: ${price:.2f}")

Q7: Write a program to find the keys with the highest and lowest values in a dictionary and print on screen.

output.cpp

# Python code
items_prices = {
    "apple": 1.00,
    "banana": 0.50,
    "cherry": 1.50,
    "date": 2.00,
    "fig": 1.20
}

# Find the key with the highest value
max_key = max(items_prices, key=lambda key: items_prices[key])

# Find the key with the lowest value
min_key = min(items_prices, key=lambda key: items_prices[key])

print("Item Prices:")
for item, price in items_prices.items():
    print(f"{item}: ${price:.2f}")

print(f"Key with Highest Price: {max_key} (Price: ${items_prices[max_key]:.2f})")
print(f"Key with Lowest Price: {min_key} (Price: ${items_prices[min_key]:.2f})")

Q8: Write a program to calculate the total value of items in a shopping cart dictionary.

output.cpp

# Python code
shopping_cart = {
    "apple": 2,
    "banana": 3,
    "cherry": 1,
    "date": 4,
    "fig": 2
}

items_prices = {
    "apple": 1.00,
    "banana": 0.50,
    "cherry": 1.50,
    "date": 2.00,
    "fig": 1.20
}

# Calculate the total value of items in the shopping cart
total_value = sum(items_prices[item] * quantity for item, quantity in shopping_cart.items())

print("Shopping Cart:")
for item, quantity in shopping_cart.items():
    print(f"{item} x{quantity}")

print(f"Total Value of Items in Cart: ${total_value:.2f}")

Q9: Write a program to merge two dictionaries into one.

output.cpp

# Python code
dict1 = {"apple": 1, "banana": 2}
dict2 = {"cherry": 3, "date": 4}

# Merge dict2 into dict1 using dictionary unpacking
merged_dict = {**dict1, **dict2}

# Print the merged dictionary
print("Merged Dictionary (using dictionary unpacking):", merged_dict)

Q10: Write a program to create a dictionary with keys as numbers and values as their squares using dictionary comprehension. Also print the results on screen.

output.cpp

# Python code
# Create a dictionary with keys as numbers and values as their squares using dictionary comprehension
squares_dict = {num: num**2 for num in range(1, 11)}

# Print the resulting dictionary
print("Dictionary with Keys as Numbers and Values as Their Squares:")
print(squares_dict)

Q11: Create a function to invert a dictionary (swap keys and values).

output.cpp

# Python code
def invert_dictionary(input_dict):
    inverted_dict = {value: key for key, value in input_dict.items()}
    return inverted_dict

# Original dictionary
original_dict = {
    "apple": "red",
    "banana": "yellow",
    "cherry": "red",
    "date": "brown"
}

# Invert the dictionary
inverted_dict = invert_dictionary(original_dict)

# Print the original and inverted dictionaries
print("Original Dictionary:")
print(original_dict)
print("\nInverted Dictionary (Keys and Values Swapped):")
print(inverted_dict)

Q12: Create a function to find common keys in two dictionaries.

output.cpp

# Python code
def find_common_keys(dict1, dict2):
    common_keys = set(dict1.keys()) & set(dict2.keys())
    return common_keys

# Two dictionaries
dict1 = {"apple": 1, "banana": 2, "cherry": 3}
dict2 = {"banana": 4, "date": 5, "cherry": 6}

# Find common keys between the two dictionaries
common_keys = find_common_keys(dict1, dict2)

# Print the common keys
print("Common Keys in Both Dictionaries:", common_keys)

Q13: Filter a dictionary to include only items with prices above a certain threshold.

output.cpp

# Python code
def filter_items_by_price(original_dict, price_threshold):
    filtered_dict = {item: price for item, price in original_dict.items() if price > price_threshold}
    return filtered_dict

# Original dictionary
items_prices = {
    "apple": 1.00,
    "banana": 0.50,
    "cherry": 1.50,
    "date": 2.00,
    "fig": 1.20
}

# Price threshold for filtering
threshold = 1.00

# Filter the dictionary
filtered_items = filter_items_by_price(items_prices, threshold)

# Print the original and filtered dictionaries
print("Original Item Prices:")
print(items_prices)
print(f"\nFiltered Item Prices (Above ${threshold:.2f}):")
print(filtered_items)

Q14: Write a program to filter a dictionary to include only items that contain a specific keyword in their names.

output.cpp

# Python code
def filter_items_by_keyword(original_dict, keyword):
    filtered_dict = {item: price for item, price in original_dict.items() if keyword in item}
    return filtered_dict

# Original dictionary
items_prices = {
    "apple": 1.00,
    "banana": 0.50,
    "cherry": 1.50,
    "date": 2.00,
    "fig": 1.20
}

# Keyword for filtering
keyword = "an"

# Filter the dictionary
filtered_items = filter_items_by_keyword(items_prices, keyword)

# Print the original and filtered dictionaries
print("Original Item Prices:")
print(items_prices)
print(f"\nFiltered Item Prices (Containing '{keyword}' in the Name):")
print(filtered_items)

Q15: Write a program to create a dictionary that represents a catalog of products with categories.

output.cpp

# Python code
catalog = {
    "Electronics": {
        "Laptop": 999.99,
        "Smartphone": 699.99,
        "Headphones": 79.99,
    },
    "Clothing": {
        "T-Shirt": 19.99,
        "Jeans": 49.99,
        "Shoes": 79.99,
    },
    "Books": {
        "Python Programming": 29.99,
        "Data Science for Beginners": 24.99,
        "The Great Gatsby": 12.99,
    }
}

# Print the catalog
print("Product Catalog:")
for category, products in catalog.items():
    print(f"{category}:")
    for product, price in products.items():
        print(f"  {product}: ${price:.2f}")

Q16: Write a program to create a function to recursively flatten a nested dictionary into a flat dictionary.

output.cpp

# Python code
def flatten_dict(nested_dict, parent_key='', separator='_'):
    flat_dict = {}
    for key, value in nested_dict.items():
        new_key = f"{parent_key}{separator}{key}" if parent_key else key
        if isinstance(value, dict):
            flat_dict.update(flatten_dict(value, new_key, separator=separator))
        else:
            flat_dict[new_key] = value
    return flat_dict

# Nested dictionary
nested_dict = {
    'a': 1,
    'b': {
        'c': 2,
        'd': {
            'e': 3,
            'f': 4
        }
    },
    'g': 5
}

# Flatten the nested dictionary
flat_dict = flatten_dict(nested_dict)

# Print the flattened dictionary
print("Nested Dictionary:")
print(nested_dict)
print("\nFlattened Dictionary:")
print(flat_dict)

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